论文部分内容阅读
对舰载机舰面多路径动态规划问题,提出了基于聚类粒子群(PSO,ParticleSwarm Optimization)算法进行解决的方法.首先建立了舰载机舰面多路径动态规划问题数学模型;其次,在建立航母舰面环境模型、舰载机“凸壳”模型、碰撞检测模型的基础上,利用聚类PSO算法进行问题求解;最后,通过编制程序对该解决方法予以实现.仿真结果表明利用聚类PSO算法所求解的结果比较精确,且计算效率也符合实际要求.因此基于聚类PSO算法对舰载机舰面多路径动态规划问题进行求解是可行的.
To solve the multi-path dynamic programming of carrier-based aircraft surface, a method based on Particle Swarm Optimization (PSO) is proposed to solve the problem.Firstly, a mathematical model of multi-path dynamic programming for carrier-based aircraft surface is established. Secondly, Based on the model of aircraft carrier’s surface, the “convex hull” model and the collision detection model, the PSO algorithm is used to solve the problem. Finally, the solution is realized through programming. The simulation results show that using The results obtained by the clustering PSO algorithm are more accurate and the computational efficiency also meets the actual requirements, so it is feasible to solve the multi-path dynamic programming of carrier-based aircraft surface based on clustering PSO algorithm.